Consultant Data Engineer

Nationwide

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Columbus, OH
Salary
$118,000–$222,000 / yr
Posted
21 days ago
Freshness
Confirmed live 2 days ago
Closes
Sep 26, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $174k
This role $170k
$106k most similar roles pay here $234k

This role pays less than 55% of similar roles. Most pay $136,725–$211,200 — the shaded band above. At the midpoint, this role pays about $170k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About Nationwide

Nationwide is a Fortune 100 insurance and financial services company offering auto, home, life, and commercial insurance along with retirement savings, asset management, and banking products. Industry: Insurance & Financial Services

Nationwide currently has 17 open roles on FindRole.

Listed pay typically runs $95,500–$177,500 across 17 roles with salary data.

Most-posted roles

View all roles at Nationwide

At a glance

TL;DR · Consultant Data Engineer

Consultant, Data Engineer will join the Altoids team within the Enterprise Data Office to support ITDM Modernization and the development of an Enterprise Data Lakehouse. The role involves designing and building Databricks and Delta Lake data pipelines to move ITDM data into reliable, reusable layers. You will develop Python and SQL transformations, create data models, and implement quality checks to support demand, capacity, and cost reporting. Key responsibilities include establishing scalable lakehouse patterns for ingestion and curation while troubleshooting performance issues and creating reusable engineering documentation. The position requires expertise in Databricks, Delta Lake, Python, SQL, Spark, and Unix Shell scripting. You will also utilize tools like JIRA, Jenkins, and Confluence within an Agile framework to solve complex data problems involving large-scale cloud technologies across Azure and AWS environments for the insurance and financial services sector.

What you'll do

  • Design and build Databricks and Delta Lake data pipelines to move ITDM data into reliable, reusable layers.
  • Develop Python and SQL transformations, data models, and quality checks for demand, capacity, and cost reporting.
  • Establish scalable lakehouse patterns for ingestion, harmonization, curation, and downstream consumption.
  • Translate business requirements into technical story breakdowns and sprint-ready work estimates.
  • Troubleshoot pipeline performance issues and provide production support through monitoring and documentation.
  • Create reusable engineering patterns to strengthen the data foundation and accelerate future delivery.
  • Implement automated testing programs and scripts to validate data quality and completeness.
  • Manage code integration using Git principles and participate in CI/CD best practices.

What we're looking for

  • At least 3 years of experience with Databricks, Delta Lake, Python, and SQL.
  • Five to eight years of experience with data quality rules, management standards, and practices.
  • One to three years of experience developing compelling stories and distinctive visualizations.
  • Experience building and supporting enterprise data pipelines and lakehouse or data-platform solutions.
  • Proficiency in modern programming languages including SQL, R, Spark, and UNIX Shell scripting.
  • Experience with cloud technologies such as Azure and AWS (Redshift, S3, EC2).
  • Familiarity with DevSecOps practices using JIRA, Jenkins, and Confluence.
  • Undergraduate degree in computer science, MIS, business, statistics, math, or a related field is preferred.

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